Thoth distribution@thoth.pub 20260519T031400

urn:uuid:30867526-73f3-4e55-8afd-ffb5066de761 03 01 01 urn:uuid:30867526-73f3-4e55-8afd-ffb5066de761 15 9781800649392 06 10.11647/OBP.0333 00 EB E107 10 Creative Commons License 02 https://creativecommons.org/licenses/by-sa/4.0/ 01 01 Learning Statistics with jamovi A Tutorial for Beginners in Statistical Analysis 1 A01 21 0000-0001-7648-6578 Danielle Navarro 2 A01 21 0000-0001-9752-7527 David Foxcroft 01 eng 00 490 03 B2 Information Technology and Computer Science 10 MAT029000 93 PBT 04 QA276.45.J36 20 Statistics 10 COM021030 20 jamovi B2 Textbooks and Learning Guides 93 UNC 20 Data Analysis B2 Education 93 JHBC 10 SOC024000 20 Descriptive Statistics 93 JMAL 10 PSY045010 B2 Science 20 Hypothesis Testing 20 Psychology and Health Sciences 03 00 Based on Danielle Navarro’s widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation.Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing.Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work. 04 00 Preface I BEGINNINGS 1 Why do we learn statistics 2 A brief introduction to research design II AN INTRODUCTION TO JAMOVI 3 Getting started with jamovi III WORKING WITH DATA 4 Descriptive statistics 5 Drawing graphs 6 Pragmatic matters IV STATISTICAL THEORY Prelude 7 Introduction to probability 8 Estimating unknown quantities from a sample 9 Hypothesis testing V STATISTICAL TOOLS 10 Categorical data analysis 11 Comparing two means 12 Correlation and linear regression 13 Comparing several means (one-way ANOVA) 14 Factorial ANOVA 15 Factor Analysis VI ENDINGS, ALTERNATIVES AND PROSPECTS 16 Bayesian statistics Epilogue References Chapter notes 20 00 Open Access Open Book Publishers 01 Open Book Publishers Cambridge, UK 04 01 20250115 13 15 9781800649385 09 Open Book Publishers 02 Publisher's website: web shop https://www.openbookpublishers.com/books/10.11647/OBP.0333 99 01 09 Open Book Publishers 29 Publisher's website: download the title https://books.openbookpublishers.com/10.11647/obp.0333.pdf 99 01